Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 31d ago
The date the source published, not the day we noticed it (2026-08-31). Last seen at its source just now.
We have tracked this listing since 31 Aug 2026 (31 days). The employer's board dropped it once and re-listed it; it was last seen there just now.
Is it remote?
Colombia - Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Colombia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $90k–102k/yr
Middle 50% of 9 listings that do state pay — Engineering · all levels · Colombia · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
lever employer's own board first seen 31d ago · last seen just now
The listing
What you'll do:
Build and maintain reliable data pipelines and ETL/ELT workflows
Develop and optimize data models for analytics and internal tools
Work with team members to deliver clean, trusted datasets
Support core data platform tools like Spark and AWS (S3, SNS, SQS, ECS/Fargate, EMR)
Monitor data pipelines for quality, performance, and reliability
Write clear documentation and contribute to test coverage and CI/CD processes
Help shape our data lakehouse architecture and platform roadmap
What you'll bring:
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
2–4 years of experience in data engineering or a backend data-related role
Strong skills in Java, Scala, or another backend programming language
Python (PySpark/pandas) skills
Experience with SQL and distributed data systems (e.g., Spark, Kafka, SQS)
Familiarity with NoSQL stores like Cassandra, HBase, or similar
Understanding of data modeling for analytics and reporting
Proficient in English with strong communication skills — able to explain or demo work to non-engineers
Self-driven — picks up new technologies and frameworks with little guidance
Debugs methodically; breaks complex problems into smaller steps
Open to feedback — iterates and improves through code reviews
Uses AI-assisted engineering tools (Claude Code, Codex, Cursor, etc.) as part of daily workflow
Reliable internet connection to sustain video, audio, and screen sharing
It'd be great if you had:
Experience with dbt, Databricks, or real-time data pipelines
Familiarity with cloud infrastructure tools like Terraform or CloudFormation
Interest in data governance, ML pipelines, or compliance standards
Personal projects or open source contributions demonstrating initiative
Why you'll love working here:
Work on data that supports meaningful software security outcomes
Modern tools in a cloud-first, open-source-friendly environment
A team that values clarity, learning, and autonomy